Position Details
About this role
This role involves leveraging advanced machine learning techniques to analyze banking data, develop risk and usage models, and uncover insights that improve credit decisioning and customer understanding.
Key Responsibilities
- Partner with cross-functional teams to develop models
- Use Python, Spark, AWS for data analysis
- Engineer features from raw banking data
- Build and validate machine learning models
- Translate complex data insights into business strategies
Technical Overview
The technical environment includes Python, Spark, AWS, H2O, and statistical modeling tools, focusing on data analysis, machine learning, and deep learning within a cloud-based infrastructure.
Ideal Candidate
The ideal candidate is a mid-level data scientist with strong experience in machine learning, statistical modeling, and data analysis, particularly within financial or banking contexts. They should be proficient in Python, Spark, and AWS, with a passion for leveraging data to improve credit risk models and customer insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or machine learning, No experience with AWS or Spark, No background in data science or statistical modeling
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